Presented by: Anurag K. Srivastava
With the significant increase in integration of renewable energy generation into the electric grid, market-based transactive exchanges between energy producers and prosumers will become more common. Transactive energy systems (TES) employ economic and control mechanisms to dynamically balance the demand and supply across the electrical grid. Emerging transactive control mechanisms depends on a large number of distributed edge-computing and Internet of Things (IoT) devices making autonomous/semi-autonomous decisions on energy production, energy consumption and demand response. However, the electric grid cyber assets and the IoT devices are increasingly vulnerable to attack. TES will likely have similar vulnerabilities and cyber attacks specially with financial interest motives of stakeholders, which could affect the operation of the power grid. Therefore, new analytical methods are needed to continuously monitor these systems operations and detect malicious activity. In this research work, various components of transactive energy systems are modeled and simulated in detail. Various cyber attack models are developed based on identified vulnerabilities of TES. A deep learning approach called deep stacked autoencoder (SAE) and MAE based techniques are utilized to detect possible anomalies in market and physical system measurements. The proposed technique is validated for satisfactory performance to detect anomalies and trigger further investigation for root cause analysis.
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About the Speaker:
Anurag K. Srivastava is an associate professor of electric power engineering at Washington State University and the director of the Smart Grid Demonstration and Research Investigation Lab (SGDRIL) within the Energy System Innovation Center (ESIC). He received his Ph.D. degree in electrical engineering from the Illinois Institute of Technology in 2005. In past years, he has worked in different capacities at the Réseau de transport d´électricité in France; RWTH Aachen University in Germany; Idaho National Laboratory, Pacific Northwest National Lab, PJM Interconnection, Schweitzer Engineering Lab (SEL), GE Grid Solutions, Massachusetts Institute of Technology and Mississippi State University in USA; Indian Institute of Technology Kanpur in India; as well as at Asian Institute of Technology in Thailand. His research interest includes data-driven algorithms for power system operation and control. Dr. Srivastava is a senior member of the IEEE, secretary of IEEE Power & Energy Society’s (PES) PEEC committee, co-chair of the microgrid working group, secretary of PES voltage stability working group, chair of PES synchrophasors applications working group, past-chair of the IEEE PES career promotion subcommittee, past-chair of the (PES) student activities committee, and past vice-chair of the IEEE synchrophasor conformity assessment program. Dr. Srivastava is an associate editor of the IEEE Transactions on Smart Grid, editor of IET Generation, Transmission and Distribution, an IEEE distinguished lecturer, and the author of more than 250 technical publications including a book on power system security and 4 pending/ awarded patents.
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